*Details: We'll talk about work by Jared D to data-mine noisebridge-discuss, and popular text methods like TF*IDF and LDA.

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*Details: Whiteboard discussion on the very basics of discrete probability distributions and entropy.

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*Who: Jared D, Mike S

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*Who:

=== Take the Noisebridge ML Survey ===

=== Take the Noisebridge ML Survey ===

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=== About Us ===

=== About Us ===

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We're a loosely-knit stochastic federation of people who like Noisebridge and like machine learning. What is machine learning? It's broad field that typically involves training computer models to solve problems. How can you participate? Join the [https://www.noisebridge.net/mailman/listinfo/ml mailing list], send an email and introduce yourself. Show up to the next meeting, share your thoughts. Participate in projects or start your own. Go to workshops, write code at workshops, learn stuff, give workshops of your own! All are welcome.

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We're a loosely-knit stochastic federation of people who like Noisebridge and like machine learning. What is machine learning? It's broad field that typically involves training computer models to solve problems. How can you <span class="plainlinks">[http://www.monoloop.com<span style="color:black;font-weight:normal; text-decoration:none!important; background:none!important; text-decoration:none;">website personalization</span>] participate? Join the [https://www.noisebridge.net/mailman/listinfo/ml mailing list], send an email and introduce yourself. Show up to the next meeting, share your thoughts. Participate in projects or start your own. Go to workshops, write code at workshops, learn stuff, give workshops of your own! All are welcome.

=== Talks and Workshops ===

=== Talks and Workshops ===

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*[http://www.pytables.org/moin PyTables]

*[http://www.pytables.org/moin PyTables]

**Adds querying capabilities to HDF5 files

**Adds querying capabilities to HDF5 files

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*[http://statsmodels.sourceforge.net/ statsmodels]

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**Regression, time series analysis, statistics stuff for python

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*[https://github.com/JohnLangford/vowpal_wabbit/wiki Vowpal Wabbit]

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**"Intrinsically Fast" implementation of gradient descent for large datasets

Take the Noisebridge ML Survey

Crowdsourced Q&A

Are you working on a data mining, machine learning, or statistics problem? Do you want some help? Consider sending an email to the mailing list about it! Also consider setting up a day to come in and talk about the project you're working on and get input from Spotsylvania reckless driving other ML people.

About Us

We're a loosely-knit stochastic federation of people who like Noisebridge and like machine learning. What is machine learning? It's broad field that typically involves training computer models to solve problems. How can you website personalization participate? Join the mailing list, send an email and introduce yourself. Show up to the next meeting, share your thoughts. Participate in projects or start your own. Go to workshops, write code at workshops, learn stuff, give workshops of your own! All are welcome.

Talks and Workshops

We've given lots of workshops and talks over the past year or so, here's a few. Many of the workshops we've given previously are recurring and will be given again, especially upon request!